Drift chamber tracking with neural networks

Conference · Thu Oct 01 00:00:00 EDT 1992

OSTI ID:10114138

Lindsey, C S; Denby, B; Haggerty, H

We discuss drift chamber tracking with a commercial log VLSI neural network chip. Voltages proportional to the drift times in a 4-layer drift chamber were presented to the Intel ETANN chip. The network was trained to provide the intercept and slope of straight tracks traversing the chamber. The outputs were recorded and later compared off line to conventional track fits. Two types of network architectures were studied. Applications of neural network tracking to high energy physics detector triggers is discussed.

• Research Organization: Fermi National Accelerator Lab., Batavia, IL (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC02-76CH03000
• OSTI ID: 10114138
• Report Number(s): FNAL/C-92/283; CONF-921005-16; ON: DE93004420
• Resource Relation: Conference: Institute of Electrical and Electronic Engineers (IEEE) nuclear science symposium and medical imaging conference,Orlando, FL (United States),25-31 Oct 1992; Other Information: PBD: Oct 1992
• Country of Publication: United States
• Language: English

Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
43 PARTICLE ACCELERATORS
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
DRIFT CHAMBERS
NEURAL NETWORKS
TRIGGER CIRCUITS
PATTERN RECOGNITION
PARTICLE IDENTIFICATION
PARTICLE TRACKS
440104
430303
990200
HIGH ENERGY PHYSICS INSTRUMENTATION
EXPERIMENTAL FACILITIES AND EQUIPMENT
MATHEMATICS AND COMPUTERS